Scientists Go After The Media For Highlighting A Study Showing IPCC Climate Models Were Wrong

A climate model expert told The Washington Post there would be “extra eyes really scrutinizing” a new study claiming climate models predicted more global warming than has been observed this century.

And he was right.

Climate scientists have rushed to criticize a study published in the journal Nature Geoscience, which found that less warming in the early 20th Century suggests it’s slightly easier — though still difficult — to meet to goals of the Paris accord.

One would think climate scientists, especially those alarmed about warming, would see this as positive, but prominent researchers were quick to express their skepticism of results questioning the integrity of climate models.

University of Reading climate scientist Ed Hawkins said media headlines “have misinterpreted” the new study that questioned models relied on by the Intergovernmental Panel on Climate Change (IPCC). Hawkins contributed to the IPCC’s major 2013 climate report.

“A recent study by Medhaug et al. analysed the issue of how the models have performed against recent observations at length and largely reconciled the issue,” Hawkins wrote in a blog post.

“An overly simplistic comparison of simulated global temperatures and observations might suggest that the models were warming too much, but this would be wrong for a number of reasons,” Hawkins wrote.

Study authors, however, contend the models and observations diverged in the past two decades during what’s been called the “hiatus” — a period of roughly 15 years with little to no rise in global average temperature.

“We haven’t seen that rapid acceleration in warming after 2000 that we see in the models. We haven’t seen that in the observations,” study co-author Myles Allen, a geosystem scientist at the University of Oxford, told The Times on Monday.

“The models end up with a warming which is larger than the observed warming for the current emissions. … So, therefore, they derive a budget which is much lower,” study co-author Pierre Friedlingstein of the University of Exeter said, according to The Washington Post.

The study seemed to confirm claims made by scientists skeptical of catastrophic man-made global warming claims that models were showing more warming than actual observations.

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142 thoughts on “Scientists Go After The Media For Highlighting A Study Showing IPCC Climate Models Were Wrong”

“highly speculative negative emissions technology.”
He must have meant “highly regressive negative emissions technology.” since the only viable negative emissions ‘technology’ is to preempt economic growth and prosperity.

Nice report but since “Climate Scientists” tend to equate Skepticism with Denial, perhaps this portion

One would think climate scientists, especially those alarmed about warming, would see this as positive, but prominent researchers were quick to express their skepticism of results questioning the integrity of climate models.
Penn State University climate scientist Michael Mann told Seeker he was “rather skeptical” of the research. Mann doubted meeting the Paris accord goal of keeping future warming at 1.5 degrees Celsius above pre-industrial times was impossible without “highly speculative negative emissions technology.”

Should read more like this
One would think climate scientists, especially those alarmed about warming, would see this as positive, but prominent researchers were quick to express their Denial of results questioning the integrity of climate models.
Penn State University climate scientist Michael Mann told Seeker he was “denying the validity” of the research. Mann doubted meeting the Paris accord goal of keeping future warming at 1.5 degrees Celsius above pre-industrial times was impossible without “highly speculative negative emissions technology.”

David,
The alarmists will claim, and already are, that the work done on renewables has succeeded in halting global warming, despite the best efforts of CO2. It will be promoted as man’s scientific endeavour over nature’s foolish folly.
Seriously mate, watch this space.

Per the source article (bold mine):“Climate scientists have rushed to criticize a study published in the journal Nature Geoscience, which found that less warming in the early 20th Century suggests it’s slightly easier — though still difficult — to meet to goals of the Paris accord.”
Per Zeke Hausfather (bold mine):

Climate consensus team is harming science again while denigrating anyone daring to analyze climate consensus findings only to discover that climate consensus advocates buggered results.
That Manniacal quote is amusing. Odds are that many manniacal didn’t read the research. meaning that many manniacal invents fiction climate consensus.

William Briggs does the same here with his “Arcsine” climate.http://wmbriggs.com/post/257/
After this post, I downloaded the “R” program, and ran cumulative sums of random coin flips of 50 tosses.
Normally, one should expect the standard deviation to be about sqrt ( NPQ) or sqrt (50*.5*.5) or about 3.5 more heads(or tails) than average, and 3.5 fewer tails( or heads) than average after 50 coinflips. I consistently got figures like:
“Residual standard error: 8.143 on 48 degrees of freedom
Multiple R-squared: 0.6943, Adjusted R-squared: 0.688
F-statistic: 109 on 1 and 48 DF, p-value: 6.028e-14”
which means that such an “extreme” result would happen by “chance” only about 6.028 times in 10^14 tries.
As Munshi said, once I “detrended” the data, I got significance figures like 25% or 58% . really worthless, as one would reasonably expect for a series of random coinflips.

When errors are xtimes bigger than the value, it is called statistic noise, and will produce a hockey stick using Principal Component ‘analysis’ weighing the chosen values 390 fold. That is what M. Mann did.

Just looking at their own figures defeats their message.
Temperatures should be above the model average between 30-70% of the time. Since 1997 they have been above the model average only at two times, 1998 and 2016.
The model average is equivalent to a permanent very strong El Niño. That’s what Hausfather calls “agreeing quite well.”https://pbs.twimg.com/media/DKKV2TCV4AEyJ8_.jpg

Well that’s because 35 years of this graph is actually hindcast and 2 years are actual projection. The climate cult keeps updating graphs and calling them ‘projections’ when in reality they are all just hindcasts.https://www.ipcc.ch/ipccreports/far/wg_I/ipcc_far_wg_I_full_report.pdf
Looking back at the first report with some of the early IPCC models, you can clearly see that CO2 emissions are already where they projected them for 2020 and in that scenario they projected the average global temperature to have warmed about 1.6 degrees C already. Only in climate science can you pretend you’ve accurately predicted something by predicting it after the fact.

For a start this is what skeptics have been saying all along, that RCP 8.5 is not Business as Usual, but an unrealistic scenario set to scare people. The adoption of RCP 4.5 as the most likely pathway to compare with observations is a huge skeptic victory. This scenario stabilizes around +2°C, which means we achieve victory without doing anything.

I knew there as something off about that model spread, but I didn’t know what. Thanks for the heads up on that Javier.
Side note: Anyone else notice how the “Combined Uncertainty” in that graphic gets much larger as time goes on? Its looks double in size from 1990 to 2020.

The models are worse then that. Surface warming is predicated on tropospheric warming…
“Climate scientist John Christy of the University of Alabama-Huntsville has shown climate models show 2.5 times more warming in the bulk atmosphere than has been observed.”
So a large percentage of surface warming CANNOT be CO2 induced.

Just one of the many falsifications of the CACA hypothesis is the fact that under its assumptions, the air should warm before and more than the surface, but just the opposite has happened in the corrupt gatekeepers’ cooked books. Thus their unwarranted adjustments merely show more starkly the models’ failure.

Well, there is a more simple explanation for this. Look at the satellite data and ground data. You will see they have peaks at the same times. This is good, it means they are in sync. The issue is that the surface temperature data is showing way in excess of the satellite data and then also doesn’t drop down (but drops) as far as the satellite data. The conclusion? You have but two realistic options:
1. Satellite series underestimates temperature.
2. Surface series overestimates temperature.
Now, one is a globally measured thing and the other is heavily reliant on infilling and adjustments to data, by the very people who think it should be showing more warming.
One suspects that there hasn’t been any statistically significant surface warming since 1998, with the exception of 2016.
Therefore, even RCP 4.5, is running way hot, even hotter than shown on the above graphs.

The fit before 2006 is a result of explicit parameter tuning in CMIP5 to best hindcast. The prediction starts at YB 2006. The fit is awful, and will remain awful after LaNina follows the 2015-16 El Nino spike.

And upon the outcomes from these models the UN-IPCC insist that all of the Western Nations must change their industrial and power generation policies.
I don’t know about you but that makes me so angry. Paris Accord be damned!

Is this a really stupid question, and forgive me if it is, but isn’t comparing actual measurements against predicted averages rather like comparing apples and pears?
The first thing that strikes me is there are no El Niño/La Ninia events predicted in neither the average nor the uncertainty. It strikes me, as a non scientist, absurd that climate can be homogenised into an almost linear measurement with no extreme events. We know there are extreme events, they know there are extreme events, but none acknowledged other than by averaging.
Their version of climate change is like a bad cash-flow analysis of an ice cream company that goes bust in summer because it hasn’t allowed for the extra capacity needed to buy extra product and employ extra people. Of course, the reverse is also true, the company goes bust in winter because its carrying too much stock and employing too many people, just because average sales say’s the future’s rosy.
Simplistic nonsense. What planet do these scientific arseholes live on?

Javier;
I see several locations where the temperatures appear to be above the model mean, starting at the extreme left of the graph. Is there an implied restriction you left out, or do I misinterpret the graph?

Berkeley Earth climate scientist Zeke Hausfather said the models matched observed global SURFACE temperatures “quite well.”.
This graph supports Mr Hausfather’s assertion. However, have these 38 RCP25 models been adjusted through the use of hindcasting as one poster states here? I was extremely surprised to see this graph although I realise that it is surface and not mid tropsphere as shown in the John Christy graph presented to Congress showing the models running too hot.
Irrespective of the suspect readings of surface temperature stations due to the Urban Heat Island affect this Blended Model Observation Comparison looks suspiciously too neat.
Could someone here please enlighten me.
Thank you.

A bit late for Michael Mann to become skeptical, and even worse that his skepticism is aimed toward a study determining that the previous studies may be flawed. So, Mann is skeptical about skepticism?
Talk about hubris.
The few times I am wrong are when I questioned whether I might not be correct.

Nothing like a breath of fresh air to improve the morning.
Well, well, well, they are starting to eat their own. The failure of models to replicate temperatures even ‘reasonably’ for 15-20 years is cause enough to have an overhaul of who is getting funded to produce them. Implementing GE’s method of firing the 10% least accurate modelers each year would soon instill some rigour into their works. We only need one good model.
If, after two years of funding your results are not in the top 2/3 in terms of matching the real world, you are out. In fact a first round cut of 2/3 of them would concentrate minds wonderfully.

How many of these models have been “adjusted” and rerun with corrections to better approximate the actual measured data, and how many are reporting their past “future predictions” from the model as it was originally constructed? After much tweaking can these models even predict yesterday’s data?

All CMIP5 models were adjusted by parameter tuning from YE 2005 back to 1975 to best hindcast, per the published ‘experimental design, mandatory submission 1.2. None have been rerun; the CMIP5 results are archived permanently and publicly at KNMI. The fail is there for all to see. The best expose is in John Christy’s March 29, 2017 written Congressional testimony, also publicly available.

I have a few questions about Mann and his ilk.
1 – Do they wear expensive cotton shirts?
2 – Do they enjoy having regular meals and/or eating in rather expensive restaurants as well as being warm in winter and cool in summer?
3 – What do they plan to say when winter comes early, stays past normal spring thaw, increases the snow pack thickness and extends its southern or northern** borders, and reduces crop growth periods, raising prices on foods/commodities that most of us take for granted, including heating fuels and electric power, AND this becomes a permanent weather fixture?
Those are just a few. I could come up with more, but I am having difficulty trying to understand people with that mentality.
**Referencing areas in the southern hemisphere subject to snowy winters, e.g., New Zealand and Chile and southern Argentina and even southern Africa. There’s been heavy winter snow in the Arabian peninsula, more than usual, including snow in Kuwait, which has not seen snow in anyone’s living memory, and snow sticking around in the Saharan dunes of Morocco, plus a very high snowpack in Chile (this season).

I think charting the average of all the model outputs is not unlike calculating the average of a bowl of mixed nuts. You get a number that is meaningless. The average of disassociated data is an undefined value.

And then you compare it to suitably adjusted temperature data. The wonder here is: why is there so much divergence? When you can adjust both the models and the data, why are they unable to get a much better fit?

There is a limit to how much the crooked gatekeepers can cook the “surface data set” books, since the satellites are watching. Or at least UAH is. RSS has joined the Borg.
And if you lower the models’ outputs to agree with the “observations”, then you can’t get scary results.
Mother Nature shows that climate sensitivity is much lower than the “canonical” WAG of 3.0 degrees C per doubling, hence no worries. It”s probably below the lower bound of IPCC’s range of 1.5 to 4.5 degrees C.
Earth’s average temperature, in so far as it can be measured, has warmed since AD 1850 by far less than the 1.0 degree C claimed by “climate scientists”, ie shameless liars. It was just as warm in the 1930s as now, and the planet is yet again cooling, as it did for 32 years after WWII, despite rising CO2.
The jig is up. “Climate scientists” will have to get real jobs.

DP I agree. When you average the results of all the models, the implication is that each model is correctly predicting the future temperature anomalies, but each model is subject to a random error about this “correct” prediction, so that when averaged, the errors tend to cancel one another out. In other words, the average is more accurate than the individual results. This is pure nonsense, of course, because the models could be (and probably are) all wrong and predicting inaccurate results, since they are all based on the assumption that CO2 drives the Earth’s temperarture anomaly – an unproven and unfalsifiable conjecture. Since the Earth’s climate is a chaotic beast, some random, unexpected event can knock it off course and send it in a different direction. That’s what happens to weather predictions. They’re right until they become wrong, usually in about a week.. You can’t model chaos 100 years out.

Warmunists eating their own. Miles Allen writes a Nature paper on the provably obvious and Mann immediately says isn’t so. The models run hot for a simple reason. Computational intractability forces parameterization which drags in attribution via parameter tuning. And the AGW via GHG attribution assumption is simply wrong, yet there is no way to correct it without calling off the whole alarm. See guest post why models run hot for the basic problem ‘proof’. Reaction to this paper is another very visible indication of the wheels coming off the CAGW bandwagon.

Of course, you realise that the ramifications for conceding that the models are not merely incidentally wrong, but INHERENTLY wrong, are enormous. Jobs are on the line here! Under the circumstances, does anyone seriously believe that objective truth is important — or even relevant?
In the absence of sensible (i.e. capable of being sensed) warming, the best possible result for the Warmists is a slow, steady retreat, never admitting to fundamental flaws in their position and keeping the Deniers from achieving respectability. Control is vital.
If there is any warming, for any reason, the Warmists will win. Sure, it isn’t very scientific, but this game has been political from the outset

Some models agree on some level. The problem is, there are so many models to choose from, and if none agrees, you can invent your own. Observed and adjusted temps agree with some low -end models on the general warming trend. None the models predict in any detail, so belief in them is not based on their performance. The general trend is not much an achievement.

Hugs,
Yes, I’m reminded of a wise saying, “When you have many standards, you don’t have any standard.” If one can’t distinguish a good model (let alone the best) from a poor model, then you have nothing to guide you except the flip of a coin. I have maintained for some time that, logically, one can only have a single best model. To average the results of all the poor models with the best model results in a sub-optimal ‘projection’ of little skill.

When Doing precious metals fire assays over a body of ore that’s to be mined. Say 1,000 assays and a disposition of them are 10% very high and very low they’re discarted from the calculations to obtain a Mean value of that section being mined. But they are kept as a record of what to expect when mining that area.

When Doing precious metals fire assays over a body of ore that’s to be mined. Say 1,000 assays and a disposition of them are 10% very high and very low they’re discarted from the calculations to obtain a Mean value of that section being mined. But they are kept as a record of what to expect when mining that area.

Fake law. Give a bunch of perpetually hungry class-action lawyers a carcass, and they’ll bûgger it, then rip at it, then howl before the cameras, then gnaw the bones loudly, then eventually give up when the Bear comes along and makes their parasitic existence less toothsome.GoatGuy

Yes, but it won’t be difficult or impactful. The lawsuit will fail for two easy reasons, both sayingnit is frivolous and should not have been brought. 1. No ability to prove imminent real harm. No way under US law to get damages to future speculative harm. As the judge in the equvalent Massachusetts lawsuit said in dismissing that suit against Exxon, “If the plaintiffs believe there will be SLR harm to Boston Harbor in 2050, perhaps they can refile in 2045.” 2. The oil companies are responsible for zero CO2 emissions. It is their customers who do the emitting. San Fransico should sue its own voting/driving population.

Maybe they’ll (Exxon, Chevron, BP, etc.) stop selling fuel in California. That’ll go a long to achieving the socialist utopia so many Californians want.
Time for moonbeam to build a wall around California. The warmunists wouldn’t all of us deplorables flocking to the left coast to partake in their budding utopia.
And if moonbeam won’t build the wall, Trump should extend the border wall to include California.

It is possible to model electronic circuits where all the factors are known to within 1%.
To model climate within 1% where all the factors are not known is indeed a miracle. 1% of 300 °K is 3 &deg.C.
Which is to say. we know nothing. And the error bands get bigger the farther into the future you project.

Damage control. They were naive in conceding where the error was to explain the new calculations, but they say The Times did an accurate reporting, and what The Times says is pretty clear.“The worst impacts of climate change can still be avoided, senior scientists have said after revising their previous predictions.
The world has warmed more slowly than had been forecast by computer models, which were “on the hot side” and overstated the impact of emissions, a new study has found. Its projections suggest that the world has a better chance than previously claimed of meeting the goal set by the Paris agreement on climate change to limit warming to 1.5C above pre-industrial levels.
The study, published in the journal Nature Geoscience, makes clear that rapid reductions in emissions will still be required but suggests that the world has more time to make the changes.
Michael Grubb, professor of international energy and climate change at University College London and one of the study’s authors, admitted that his past prediction had been wrong.
He stated during the climate summit in Paris in December 2015: “All the evidence from the past 15 years leads me to conclude that actually delivering 1.5C is simply incompatible with democracy.” He told The Times yesterday: “When the facts change, I change my mind, as [John Maynard] Keynes said. It’s still likely to be very difficult to achieve these kind of changes quickly enough but we are in a better place than I thought.”
The latest study found that a group of computer models used by the Intergovernmental Panel on Climate Change had predicted a more rapid temperature increase than had taken place. Global average temperature has risen by about 0.9C since pre-industrial times but there was a slowdown in the rate of warming for 15 years before 2014.
Myles Allen, professor of geosystem science at the University of Oxford and another author, said: “We haven’t seen that rapid acceleration in warming after 2000 that we see in the models. We haven’t seen that in the observations.” He added that the group of about a dozen computer models, produced by government institutes and universities around the world, had been assembled a decade ago “so it’s not that surprising that it’s starting to divert a little bit from observations”. Too many of the models used “were on the hot side”, meaning they forecast too much warming.
According to the models, keeping the average temperature increase below 1.5C would mean that the world could emit only about 70 billion tonnes of carbon after 2015. At the present rate of emissions, this “carbon budget” would be used up in three to five years. Under the new assessment, the world can emit another 240 billion tonnes and still have a reasonable chance of keeping the temperature increase below 1.5C.
“That’s about 20 years of emissions before temperatures are likely to cross 1.5C,” Professor Allen said. “It’s the difference between being not doable and being just doable.”
Professor Grubb said that the fresh assessment was good news for island states in the Pacific, such as the Marshall Islands and Tuvalu, which could be inundated by rising seas if the average temperature rose by more than 1.5C.
Other factors pointed to more optimism on climate change, including China reducing its growth in emissions much faster than predicted and the cost of offshore wind farms falling steeply in Britain. Professor Grubb called on governments to commit themselves to steeper cuts in emissions than they had pledged under the Paris agreement to keep warming below 1.5C. He added: “We’re in the midst of an energy revolution and it’s happening faster than we thought, which makes it much more credible for governments to tighten the offer they put on the table at Paris.”
The Met Office acknowledged yesterday a 15-year slowdown in the rise in average temperature but said that this pause had ended in 2014, the first of three record warm years. The slowing had been caused by the Pacific Decadal Oscillation, a pattern of warm and cool phases in Pacific sea-surface temperature, it said.
The Times”
They can’t take back what they said. They just don’t like that people can connect the dots and remember what they have been saying all along. Their “Oops!” moment at the reaction is just added fun.

“They can’t take back what they said. They just don’t like that people can connect the dots and remember what they have been saying all along.”
Exactly! And laypeople have no idea which graph is more accurate, too often they’ll just trust the “official scientists.”
Without firmly established model predictions of actual temperatures to compare to the record, they’ll just wiggle around some parameters and claim they were right all along. This is a typical tactic of pseudo-scientific movements, especially eco-scares.

Troll: (in folklore) an ugly cave-dwelling creature depicted as either a giant or a dwarf.
Strange how some climate sceptics like to use kiddies language to disrespect those who disagree with them. Perhaps because the language reflects the fantasy of their own fairy-tale beliefs.

Although it’s almost impossible to read on the graph in the tweet, it does mention “Includes 109 runs from 38 RCP45 models.” From a bit of Google searching, the RCP appears to stand for Representative Concentration Pathway 4.5, and Wikipedia says “Representative Concentration Pathways (RCPs) are four greenhouse gas concentration (not emissions) trajectories adopted by the IPCC for its fifth Assessment Report (AR5) in 2014.”
So what the graph is actually showing is how well models from 2014 or after have predicted the past back to 1970 when they already knew the observed temperature the model needed to produce. A models accuracy can only be verfied if it predicts and matches the unknown. Of course a model created from past data will match data from the past. And notice how the most recent observed temperatures, the ones most likely not known when the model was created, swing wildly from one edge of the model band to the oppisite edge in very little time.
Now if the same graph had been from models created in 1970 and showed that those past models had accurately predicted temperature after their creation up until the present, that might say something about the quality of the model. But using 2014 or later models for a graph of 1970-2017 data says nothing about the ability of those models to predict the future.

We show that limiting cumulative post-2015 CO2 emissions to about 200 GtC would limit post-2015 warming to less than 0.6 °C in 66% of Earth system model members of the CMIP5 ensemble with no mitigation of other climate drivers, increasing to 240 GtC with ambitious non-CO2 mitigation.

That 66% of Earth system model members reminds me of this awesome Burgundy’s quote:
66% is the new 97%.

Proof that garbage in only gets garbage out, when it cannot show that the increased CO2 by Humans has NOT increased Global Warming or Climate Change as they predicted. If the global temperatures have not heated with the CO2 increase the models are failures. Vindicating that CO2 has little to no effect as they have been alaming the population for decades that it does. Proving again that this is all just a political scam to harm capitalism at the root of all technological advances that started with our use of Fossil Fuels in the Industrial Age. That these so called “scientists” are turning on their own – that say their predictions have been wrong – is typical in the modern progressive/liberal/Democratic Socialist of the last century… Either march in Lock Step or you will be demonized and ostracized as a Denier.

I’m confused. So these models all predict El Nino and La Nina and eruption of Mount Pinatubo? It seems like past observed ocean temperatures input as boundary conditions into the model. So an atmospheric response to ocean anomalies is produced. Doesn’t it just show that oceans control the global thermostat?

Even on Hansen 1988 there’s no actual temperatures given, plus they claim Hansen’s scenarios don’t refer to emissions (even though they’re clearly labelled as such in the written Congressional testimony).

Statistical projections, whether linear or non-linear, are NOT modeling and should never be presented as such. These fabrications increase in error as a function of the time scale based on the aggregate input error. In the case of “climate models” that means that the chart is inaccurate the moment the time and temperature scales are selected.

We are always told “listen to the scientists, trust what they say”. (Ed Begley Jr, Bill Nye, Barack Obama, Al Gore, Richard Branson, Leonardo di Caprio, Prince of Wales, to name a few celebs that are actively promoting the CO2 scare)
Now suddenly we are not supposed to listen to scientists. At least not to the ones that authored that very inconvenient paper.
People like Michael Mann have too much to lose. They will fight each and any type of opposition tooth and nail with their allies in the Media. Huge amounts of money are at stake, not to mention reputation and job security.
“Sorry” seems to be the hardest word…….as per Dellingpole, who brilliantly exposed this situation a day or so ago.
This new paper will come in handy for Mark Steyn’s defense, if it ever comes to a trial date in the case that Michael Mann sent Steyn’s way back in 2011.

The models match the surface record exceptionally well. Cue the posting of graphs comparing surface temperature projections with satellite measurements from an outlying dataset of temperature up at the same elevation as Mount Everest. Or faux conspiracy theories about every weather service in the world tampering with their historical records…

SST data sets are rubbish. Even Phil Jones admitted this:
Tom,
The issue Ray alludes to is that in addition to the issue
of many more drifters providing measurements over the last
5-10 years, the measurements are coming in from places where
we didn’t have much ship data in the past. For much of the SH
between 40 and 60S the normals are mostly made up as there is
very little ship data there.
——
it’s not a conspiracy theory; it’s a conspiracy fact. They conspired to dodge FOIA requests and delete emails. It’s all there in their own words.

Wow, the blended comparison is outright fraud. Complete lies. There has been very little warming since 98 and the models project 2.5 times the observed temperature. this is fact. It takes enormous Hubris to lie openly in the media like that. Either that or he feels ‘protected’ by the establishment agenda.

My prediction (sorry, projection) for the end of the century is that folks alive then will be wishing temperatures were 1.5 degrees above what they were in 1850. Just as likely for the climate to go cold again as to keep warming.

The reason why model simulations closely match the temperature record is that the temperature record has been overwritten by model simulations.
All this tells us is that we are dealing with pure state fascism.
Zeke Hausvazer is a new Goebbels.

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